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Description

Join us for an overview of three different big data technology implementation case studies. Three different businesses will provide an overview of the problem they set out to solve, the data involved, and the technology used. You’ll learn about high level strengths, weaknesses, and applicability of the different technologies involved and the real world implementation experience.

Storytellers:

Scott Waddell will explain how iovation adopted Cassandra to achieve service scalability with improvements to performance, availability, and development flexibility. He’ll highlight lessons learned and the current state of the deployed active/active architectureof 100+ Cassandra nodes.

Scott Waddell is the Chief Technology Officer at iovation where he is privileged to lead the engineering, ioLabs, and IT operations teams to help customers win the battle against online fraud & abuse. Scott has more than 20 years of hands-on leadership experience spanning fraud mitigation, computer & network security, critical infrastructure protection, and information warfare. He is also a new member of the TAO Board of Directors and enjoys time with his wife and three teenage children in Lake Oswego.

Shawn Duffy has implemented and architected multiple Big Data environments for companies in the Consumer Goods, Entertainment, & Retail industries. His functional & technical experiences for these implementations will be shared, especially what made them successful (which may surprise you) and what challenges/pitfalls to avoid, delving into the business' role of Big Data as well as the technical specifics surrounding their success.

Shawn Duffy is the Business Intelligence Practice Lead at Axian. He has spent the past 15+ years in the Business Intelligence industry as developer and architect. Starting out as a Database programmer & Crystal Reports Developer, he progressed through all aspects of Data Warehousing, BI Strategy, Architecture Design, and Big Data. He has worked with many Fortune 100/500 companies, including the Schwan Foods Company, Lockheed Martin, Tyson Foods, Baker & McKenzie, Raytheon, & Tribune Company, architecting Business Intelligence and Big Data Solutions.

Allen Grimm will demonstrate the four steps of his data science process designed to take a business from the starting line to fully functional data infrastructure. Each step will be explained through case studies from past and current projects. By the end of the presentations, the technical-minded will have a better grounding for their skill set and the business-minded will have a better grasp on how to conceptualize a data team.

Fascinated by the intersection of abstraction and reality, Allen's heart is in data science. Formally trained in computational intelligence at Portland State University followed by data mining at Nike and predictive modeling in various startups, he is currently Senior Data Scientist at Sovolve and is founding Grimm Science. His passion is in de-mystifying data science and exploring the best practices of building data science initiatives.